Assists in clustering spatial data. DBSCAN is a non-parametric, density based clustering technique. It provides features that useful when detecting objects/class/patterns/structures of different shapes and sizes. This algorithm is a good candidate to find ‘natural’ clusters and their arrangement within the data space when they have a comparable density without any preliminary information about the groups present in a data set.
Center for Mathematical Sciences-Europe, Merck MSD, Oss, The Netherlands; Department of Analytical Chemistry, Chemometric Research Group, Institute of Chemistry, The University of Silesia, Katowice, Poland